Supply Chain Consultant Jobs in Illinois
Supply chain consultant jobs in Illinois are consistently active, concentrated in manufacturing, food and beverage, healthcare logistics, and professional services, with openings at every level from entry-level analyst to senior principal. Chicago, the Midwest's dominant logistics hub, accounts for the largest share of postings, with additional hiring in Peoria and the Quad Cities, where companies like Caterpillar, Baxter International, and Deloitte maintain significant operations. The most in-demand specialties include procurement optimization, demand planning, and ERP implementation support. Find a role that fits below and apply directly.
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Job description
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
As a Solution Manager in Supply Chain Manufacturing Operations, you will design, build, test, and scale differentiated AI-enabled manufacturing solutions. You will combine manufacturing domain knowledge with manufacturing data platforms, industrial data architectures, predictive and generative AI, knowledge graphs, retrieval-augmented generation (RAG), data ontologies, and reusable application components.
This is a hands-on solution-building role. The primary purpose of the position is to create working solutions, prototypes, accelerators, demonstrations, reference architectures, and reusable intellectual property that can be configured and deployed by pursuit and delivery teams.
You will work with manufacturing practitioners, data engineers, data scientists, AI engineers, software developers, architects, alliance teams, and solution leaders to turn priority manufacturing use cases into production-oriented solution assets. Success will be measured by the quality, technical credibility, usability, repeatability, and adoption of the solutions built.
Your key responsibilities
As a Solution Manager in Supply Chain Manufacturing Operations, you will be responsible for the end-to-end development of AI-enabled manufacturing solutions and the reusable data and technology foundations required to scale them.
- Own the design, hands-on development, testing, documentation, and continuous improvement of AI-based manufacturing solutions, prototypes, accelerators, demonstrations, and reusable solution components.
- Translate manufacturing problems into clearly defined AI use cases, user stories, functional requirements, technical requirements, data requirements, model requirements, acceptance criteria, and measurable operational outcomes.
- Lead use-case development from concept through working prototype, including problem definition, value hypothesis, process design, data assessment, solution architecture, configuration, model integration, testing, validation, and handoff for industrialization.
- Design manufacturing data platform architectures that connect and contextualize data from MES/MOM, ERP, historians, SCADA, PLC, IoT, quality, maintenance, laboratory, warehouse, engineering, document, image, and enterprise systems.
- Develop reusable manufacturing data models spanning assets, sites, lines, equipment, products, materials, production orders, process parameters, quality events, maintenance activities, inventory, energy, labor, and performance measures.
- Define and implement manufacturing data ontologies, semantic models, taxonomies, metadata, entity relationships, and governance standards that establish consistent meaning across plants, systems, and use cases.
- Build and operationalize manufacturing knowledge graphs that connect structured, time-series, event, document, engineering, and unstructured data to provide context for analytics, AI models, copilots, and agents.
- Design RAG solutions using governed manufacturing content, operational data, knowledge graphs, embeddings, vector search, metadata filtering, prompt patterns, and evaluation methods.
- Build AI assistants, copilots, agents, predictive models, and intelligent workflows for manufacturing use cases such as predictive maintenance, anomaly detection, root-cause analysis, quality investigation, production optimization, shift handover, troubleshooting, work-instruction retrieval, energy optimization, and operational decision support.
- Develop prompt libraries, retrieval strategies, grounding approaches, evaluation datasets, guardrails, human-in-the-loop controls, traceability mechanisms, and monitoring standards for generative AI solutions.
- Configure and extend SymphonyAI industrial capabilities, including manufacturing data foundations, unified namespace patterns, knowledge graphs, industrial AI models, RAG-enabled copilots, agent workflows, and low-code or no-code applications.
- Apply comparable industrial data and AI platforms when appropriate, including platforms that support industrial DataOps, contextualization, semantic modeling, knowledge graphs, MLOps, generative AI, agent orchestration, edge-to-cloud integration, and application development.
- Build integrations and reusable connectors using APIs, event streams, industrial protocols, data pipelines, orchestration tools, and common IT/OT integration patterns.
- Establish development standards for source control, reusable code, configuration management, model versioning, data quality, testing, release management, DevOps, MLOps, LLMOps, security, and solution documentation.
- Create reference implementations and demonstration environments that show how manufacturing data foundations, AI models, copilots, agents, and applications work together in an integrated solution.
- Evaluate emerging AI, data, and industrial technology capabilities through practical experiments and convert relevant capabilities into working solution components and product roadmaps.
- Maintain solution backlogs, prioritize features, define releases, manage technical dependencies, and coordinate multidisciplinary contributors through agile solution-development cycles.
- Package solutions for reuse through technical documentation, configuration guides, architecture diagrams, data-model specifications, test scripts, deployment guidance, and enablement materials.
- Provide technical support to pursuit and delivery teams as a solution expert while remaining primarily accountable for internal solution engineering rather than ongoing client-facing delivery.
- Coach developers, engineers, analysts, and specialists contributing to AI manufacturing solution development.
Skills and attributes for success
To excel in this role, you will need a builder mindset and the ability to move from an ambiguous manufacturing problem to a working, technically credible, reusable solution.
- Hands-on solution-engineering capability across manufacturing operations, industrial data, AI, applications, integration, and deployment.
- Strong understanding of manufacturing data platforms, industrial DataOps, unified namespaces, data fabrics, data products, contextualization, and edge-to-cloud architectures.
- Practical knowledge of knowledge graphs, graph databases, semantic layers, ontologies, taxonomies, metadata, entity resolution, lineage, and data governance.
- Experience designing RAG or GraphRAG solutions, including document ingestion, chunking, embeddings, vector databases, graph retrieval, reranking, grounding, prompting, evaluation, observability, and responsible AI controls.
- Strong data-modeling skills across conceptual, logical, physical, semantic, time-series, event, graph, and application data models.
- Ability to design manufacturing ontologies and common data models aligned with standards and concepts such as ISA-95, ISA-88, asset hierarchies, material models, process models, quality models, and maintenance models.
- Experience building predictive, prescriptive, generative, and agentic AI solutions for industrial or manufacturing applications.
- Ability to develop, configure, integrate, and test working applications, copilots, agents, workflows, dashboards, APIs, and reusable solution services.
- Working knowledge of MES/MOM, historians, SCADA, PLC, CMMS/EAM, LIMS, QMS, ERP, warehouse, planning, engineering, and connected-worker systems.
- Understanding of data pipelines, stream processing, APIs, industrial protocols, data lakes or lakehouses, relational databases, time-series databases, document stores, vector databases, and graph databases.
- Familiarity with software engineering, DevOps, DataOps, MLOps, and LLMOps practices required to move AI solutions from prototype toward scalable deployment.
- Ability to assess solution quality through functional testing, model evaluation, retrieval evaluation, performance testing, security review, and user validation.
- Strong product-management and agile-development skills, including backlog management, feature definition, release planning, acceptance criteria, and iterative prototyping.
- Ability to communicate technical designs clearly through concise architecture diagrams, specifications, demonstrations, and reusable documentation.
- Effective collaboration with engineers, data scientists, architects, manufacturing subject-matter specialists, alliance partners, and internal solution owners.
- Ability to manage multiple solution-development priorities while maintaining technical quality, usability, security, and alignment with manufacturing outcomes.
To qualify for the role, you must have
- A bachelor’s degree in engineering, computer science, data science, information systems, manufacturing, supply chain, operations, or a related discipline.
- At least 4–6 years of relevant experience in AI solution development, industrial data platforms, digital manufacturing, manufacturing technology, data engineering, software development, or a related field.
- Demonstrated experience building working AI, data, analytics, or software solutions rather than solely defining strategies, managing programs, or delivering advisory services.
- Experience developing manufacturing data platforms, industrial data pipelines, common data models, semantic layers, ontologies, or knowledge graphs.
- Experience designing or implementing RAG-based applications, AI copilots, intelligent search, conversational interfaces, or agentic workflows.
- Experience with data modeling across operational, manufacturing, engineering, maintenance, quality, or supply chain domains.
- Experience taking manufacturing use cases from problem definition through architecture, build, configuration, testing, demonstration, and reusable solution packaging.
- Experience integrating data from manufacturing and enterprise systems, including structured, unstructured, time-series, event, image, and document sources.
- Experience using programming, scripting, low-code, no-code, data-engineering, AI-development, or application-development tools to produce working solutions.
- Experience creating technical documentation, reference architectures, data-model specifications, test plans, demonstrations, and deployment guidance.
- Experience leading small technical teams or coordinating multidisciplinary contributors through iterative solution-development cycles.
- Ability to work effectively in a primarily internal solution-building role with limited, selective client interaction.
- Ability to travel up to 50%
Ideally, you’ll also have
- Hands-on experience with SymphonyAI Industrial, IRIS Foundry, IRIS Forge, IRIS Flows, industrial copilots, industrial knowledge graphs, or related SymphonyAI capabilities.
- Experience with comparable industrial data and AI platforms such as Cognite Data Fusion, Palantir Foundry, Databricks, Microsoft Fabric and Azure AI, AWS industrial and AI services, Google Cloud data and AI services, Snowflake, AVEVA, AspenTech, Siemens, PTC, or similar platforms.
- Experience configuring unified namespaces, asset hierarchies, industrial knowledge graphs, governed data catalogs, low-code applications, AI agents, and persona-based copilots.
- Experience with graph technologies such as Neo4j, RDF, OWL, SPARQL, property graphs, ontology-management tools, or graph-based retrieval.
- Experience with vector databases, embedding models, LLM frameworks, agent frameworks, model gateways, prompt-management tools, and AI evaluation platforms.
- Experience building manufacturing AI use cases in predictive maintenance, asset performance, process optimization, quality, vision inspection, production intelligence, connected worker, energy, scheduling, or supply chain.
- Knowledge of industrial and manufacturing standards such as ISA-95, ISA-88, OPC UA, MQTT, Sparkplug, IEC 62264, CFIHOS, or related reference models.
- Experience with Python, SQL, APIs, JSON, graph query languages, data pipelines, stream processing, cloud services, containers, or application-development frameworks.
- Experience applying responsible AI, cybersecurity, access control, data privacy, model governance, content traceability, and human-approval patterns in industrial environments.
- Experience with product management, agile development, design thinking, user-centered design, or solution incubation.
- Relevant cloud, AI, data, graph, manufacturing, or platform certifications.
What we look for
We are looking for a hands-on solution builder who combines manufacturing credibility with strong data, AI, and software-engineering instincts. The successful candidate will be curious, structured, technically capable, and motivated to turn manufacturing knowledge and emerging technology into working, reusable solutions.
This individual should prefer building, configuring, testing, and improving solutions over leading client-delivery programs. The role will interact selectively with internal stakeholders, alliance partners, pursuit teams, and delivery teams to gather requirements and transfer knowledge, but it is not intended to serve as a client-facing delivery manager. The core accountability is to create differentiated AI-enabled manufacturing solutions that others can sell, deploy, and scale.
What we offer you
At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- The salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $154,000 to $256,700
- Bay Area California offices – $160,500 to $267,400
- All other offices locations in the US, including Sacramento – $128,400 to $235,300
- Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Are you ready to shape your future with confidence? Apply today.
- To make the most of your application experience, please limit yourself to two applications within a six-month period.
- EY accepts applications for this position on an on-going basis.
- For those living in California, please click here for additional information.
- At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
All in to shape the future with confidence.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
See All 5 Supply Chain Consultant Jobs in Illinois
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Find Supply Chain Consultant JobsSupply Chain Consultant Jobs by City in Illinois
Where Illinois roles are concentrated, by current openings.
Supply Chain Consultant Job Market in Illinois
A snapshot from current Illinois openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Consulting & Professional Services
What Illinois Employers Look For
The qualifications that appear most often in supply chain consultant jobs across Illinois.
- Bachelor's degree in supply chain management, business, or a related field required
- Professional certification such as APICS CSCP or CPIM strongly preferred by Illinois employers
- Three or more years of experience in supply chain analysis, procurement, or logistics operations
- Proficiency in ERP platforms such as SAP, Oracle, or Microsoft Dynamics for project work
- Demonstrated experience leading process improvement initiatives using Lean or Six Sigma methods
- Strong communication and client-facing skills for consulting engagements across Illinois industries
Supply Chain Consultant Jobs in Illinois: Frequently Asked Questions
How do you become a supply chain consultant in Illinois?
Supply chain consulting in Illinois has no state-issued license, but employers consistently expect a bachelor's degree in supply chain management, business, or industrial engineering alongside a recognized professional credential. The APICS Certified Supply Chain Professional designation and the CPIM certification are the most respected in Illinois hiring. Candidates who combine a relevant degree with one of these credentials and experience in manufacturing, healthcare, or distribution move most quickly into consulting roles with Illinois-based firms and corporate clients.
How much do supply chain consultants make in Illinois?
Supply chain consultants in Illinois earn a median of about $104,270 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $57,610 for the lowest 10% to over $175,360 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire supply chain consultants in Illinois?
Employers hiring supply chain consultants in Illinois right now include Logic, EY, and ITC Worldwide, based on current listings on Migrate Mate as of September 2026. Illinois's strong manufacturing base and the concentration of Fortune 500 headquarters in the greater Chicago area make the state a consistent source of both in-house and project-based consulting demand year-round.
Which Illinois cities have the most supply chain consultant jobs?
Chicago lead for supply chain consultant openings in Illinois. Chicago dominates due to its density of corporate headquarters, consulting firms, and distribution networks, while Peoria and the Quad Cities generate steady demand from large industrial employers like Caterpillar and John Deere that regularly engage outside consultants for procurement and logistics projects.
Are there remote supply chain consultant jobs in Illinois?
Yes, and more than many operational roles, since supply chain consulting often centers on data analysis, stakeholder interviews, and deliverable preparation that can be done off-site. About 0% of supply chain consultant openings tied to Illinois are remote or hybrid as of September 2026, reflecting employer flexibility for analytical and advisory work. The most remote-compatible work includes demand forecasting, ERP configuration review, and procurement strategy, while on-site visits to warehouses or manufacturing floors remain part of many engagements.
How can I get hired as a supply chain consultant in Illinois with little or no experience?
The most realistic entry path is moving from an operations or analyst role inside a large Illinois manufacturer or distributor into a consulting track. Companies like Caterpillar, Baxter International, and Abbott frequently hire supply chain coordinators and procurement analysts who later transition into internal or external consulting. Pursuing the APICS CSCP while working in an adjacent role signals seriousness to Illinois hiring managers. Boutique Chicago-area consulting firms also take on junior consultants from MBA programs at the University of Illinois or Northwestern, making those networks worth cultivating early.
Where can I find and apply to supply chain consultant jobs in Illinois?
You can find and apply to supply chain consultant jobs in Illinois on Migrate Mate, which lists current openings across Illinois. Search the listings, find roles that match your experience and target location, and apply directly to the ones that fit.
See All 5 Supply Chain Consultant Jobs in Illinois
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Find Supply Chain Consultant Jobs